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Sunghee Kim
Sunghee Kim
University of Texas at Arlington
Verified email at umd.edu
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Year
Use of a dark object concept and support vector machines to automate forest cover change analysis
C Huang, K Song, S Kim, JRG Townshend, P Davis, JG Masek, ...
Remote sensing of environment 112 (3), 970-985, 2008
3242008
Assessment of Paraguay's forest cover change using Landsat observations
C Huang, S Kim, K Song, JRG Townshend, P Davis, A Altstatt, O Rodas, ...
Global and Planetary Change 67 (1-2), 1-12, 2009
2122009
Rapid loss of Paraguay's Atlantic forest and the status of protected areas—A Landsat assessment
C Huang, S Kim, A Altstatt, JRG Townshend, P Davis, K Song, CJ Tucker, ...
Remote sensing of Environment 106 (4), 460-466, 2007
1932007
Toward high-resolution flash flood prediction in large urban areas–Analysis of sensitivity to spatiotemporal resolution of rainfall input and hydrologic modeling
A Rafieeinasab, A Norouzi, S Kim, H Habibi, B Nazari, DJ Seo, H Lee, ...
Journal of Hydrology 531, 370-388, 2015
892015
Limiting imperviousness: are threshold-based policies a good idea?
GE Moglen, S Kim
Journal of the American Planning Association 73 (2), 161-171, 2007
792007
Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models
A Rafieeinasab, DJ Seo, H Lee, S Kim
Journal of hydrology 519, 2663-2675, 2014
472014
Improving water quality forecasting via data assimilation–Application of maximum likelihood ensemble filter to HSPF
S Kim, DJ Seo, H Riazi, C Shin
Journal of Hydrology 519, 2797-2809, 2014
392014
High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation
S Kim, H Shen, S Noh, DJ Seo, E Welles, E Pelgrim, A Weerts, E Lyons, ...
Journal of Hydrology 598, 126236, 2021
332021
Improving Flood Forecasting Using Conditional Bias-Penalized Ensemble Kalman Filter
H Lee, H Shen, SJ Noh, S Kim, DJ Se, Y Zhang
Journal of Hydrology, 2019
182019
Assessing the skill of medium-range ensemble precipitation and streamflow forecasts from the hydrologic ensemble forecast service (HEFS) for the upper Trinity River basin in …
S Kim, H Sadeghi, RA Limon, M Saharia, DJ Seo, A Philpott, F Bell, ...
Journal of Hydrometeorology 19 (9), 1467-1483, 2018
182018
High-resolution hydrologic forecasting for very large urban areas
H Habibi, I Dasgupta, S Noh, S Kim, M Zink, DJ Seo, M Bartos, B Kerkez
Journal of Hydroinformatics 21 (3), 441-454, 2019
142019
Comparison of gauge and MPE precipitation data for the Chesapeake Bay Watershed Model
S Kim, KL Brubaker
Journal of Hydrologic Engineering 19 (5), 1042-1047, 2014
62014
Improving automated detection of land cover change for large areas using landsat data
K Song, JR Townshend, S Kim, P Davis, R Clay, O Rodas
International Workshop on the Analysis of Multi-Temporal Remote Sensing …, 2005
42005
Drought and weir construction impact stationarity assumption in watershed water quality modeling in South Korea
S Kim
Ecological informatics 45, 38-47, 2018
32018
Improving operational water quality forecasting with ensemble data assimilation
H Riazi, S Kim, DJ Seo, C Shin, K Kim
Journal of Water Management Modeling, 2016
32016
On improving ensemble forecasting of extreme precipitation using the NWS Meteorological Ensemble Forecast Processor (MEFP)
DJ Seo, J Brown, TM Modrick, K Georgakakos, S Kim, H Sadeghi, M He, ...
AGU Fall Meeting Abstracts 2015, H51P-08, 2015
22015
High-resolution flash flood forecasting for large urban areas—Sensitivity to scale of precipitation input and model resolution
A Rafieeinasab, A Norouzi, DJ Seo, S Kim, H Chen, V Chandrasekar, ...
Proc., 11th Int. Conf. on Hydroinformatics, International Association for …, 2014
22014
HSPF Restart Function for Short-Range Water Quality Forecasting and Data Assimilation
S Kim, DJ Seo, C Shin, H Song
World Environmental and Water Resources Congress 2015, 2443-2448, 2015
12015
Improving ensemble forecast quality for heavy-to-extreme precipitation for the Meteorological Ensemble Forecast Processor via conditional bias-penalized regression
S Kim, A Jozaghi, DJ Seo
2024
Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing
E Lyons, DJ Seo, S Kim, H Habibi, G Papadimitriou, R Tanaka, ...
2021 IEEE 17th International Conference on eScience (eScience), 259-261, 2021
2021
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